Hadoop Course Content

• What is Hadoop
• Why Hadoop and its use cases(Demo part)
• Different Componets of Hadoop.
• HDFS (Hadoop Distributed File System)
• Significance of HDFS in Hadoop
• Features of HDFS
• daemons of Hadoop
• NameNode and its functionality
• DataNode and its functionality
•  JobTracker and its functionality
•  TaskTrack and its functionality
• Secondary Name Node and its functionality.
• Data Storage in HDFS
• Introduction about Blocks
• Data Replication
• Accessing HDFS
• CLI (Command Line Interface) and Admin commands
• Java Based Approach
• Hadoop Archives
• MapReduce
• MapReduce architecture
• MapReduce Programming Model
•  Different phases of Map Reduce Algorithm
• Different Data types in Map Reduce
• How to write a basic Map Reduce Program
•  The Driver Code
• The Mapper
•  The Reducer
•  Joining DataSets in MapReduce jobs - MapJoins and Reduce Joins
•  Creating Input and Output Formats in Map Reduce Jobs
•  Text Input Format
•  KeyValue InputFormat
•  Sequence File Input Format
• How to debug MapReduce Jobs in Local and Pseudo cluster Mode.
•  Unit Testing MR Jobs.
•  Introduction to MapReduce Streaming and Pipeling
•  Data localization in Map Reduce
•  Combiner(Mini Reducer) and Partioner
• Distributed Cache
• Secondary Sorting Using Map Reduce
• Apache PIG
• Introduction to Apache Pig
• Map Reduce Vs Apache Pig
• SQL Vs Apache Pig
• Different datatypes in Pig
• Modes Of Execution in Pig
•  Local Mode
•  Map Reduce OR Distributed Mode
• Execution Mechanism
•  Grunt Shell
•  Script
•  Embedded
• Transformations in Pig
• How to write a simple pig script
• UDFs in Pig
• HIVE
• Hive Introduction
• Hive architecture
• Hive Meta Store
• Hive Integration with Hadoop
• Hive Query Language(Hive QL)
• SQL VS Hive QL
• Hive UDF
• Hive UDAF
• Hive
• Hive SerDe
• Hive Transform
• SQOOP
• Introduction to Sqoop.
• MySQL client and Server Installation
• How to connect to Relational Database using Sqoop
• Different Sqoop Commands
•  Different flavors of Imports
•  Export
•  Hive-Imports
• Hbase
• Hbase introduction
• Hbase usecases
• Hbase basics
•  Column families
•  Scans
• Hbase Architecture
• Clients
•  REST
•  Thrift
•  Java Based
•  Avro
• Map Reduce Integration
• Map Reduce over Hbase
• Hbase Admin
•  Schema Definition
•  Basic CRUD Operations
• OOZIE and Flume Introduction
• NOTE:
• Mock Interviews will be conduct

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